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usage: csv_plot_annotated_heatmap.py [-h] [-v] [--title TEXT] [--x_title TEXT]
[--y_title TEXT]
[--color_table {1,2,3,4,5,6,7,8,9,10,11,12}]
[--x COLUMN[,COLUMN...]] [--y COLUMN]
[--zrange ZMIN,ZMAX] [--log_z]
[--query QUERY] [--output FILE]
[--format {svg,png,jpg,json,html}]
[--packed_html] [--width WIDTH]
[--height HEIGHT] [--show_scale]
CSV_FILE
create heatmap chart for x-y matrix data
positional arguments:
CSV_FILE csv files to read
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
--title TEXT title of chart
--x_title TEXT title of x axis
--y_title TEXT title of y axis
--color_table {1,2,3,4,5,6,7,8,9,10,11,12}
color table for heat map, default=1
--x COLUMN[,COLUMN...]
names of columns for x
--y COLUMN name of column for Y
--zrange ZMIN,ZMAX range of Z, this is used for only color scale.
--log_z log-scaled Z axis
--query QUERY query string to select rows
--output FILE path of output file
--format {svg,png,jpg,json,html}
format of output, default=svg
--packed_html whether plotly.js is included in result html file,
this is enable only for --format=html
--width WIDTH width of output
--height HEIGHT height of output
--show_scale show scale
remark:
The input data must have the csv format, you may select numerical columns as X and optionaly column for labels of rows as Y.
If columns of X and Y was not given, all elements are used as numerical values.
When you want to select rows, you may use '--query'.
Labels for X-axis are made from names of columns. labels for Y-axis are row number for deault or contents in Y column if given.
example:
csv_plot_annotated_heatmap.py --format=html --x=B,C,D,E --y=A --show_scale --x_title=XAXIS --y_title=YAXIS test_annotated_heatmap.csv
csv_plot_annotated_heatmap.py --format=html --x=B,C,D,E --y=A --show_scale --x_title=XAXIS --y_title=YAXIS --query="B>=10" test_annotated_heatmap.csv
csv_plot_bar.py
usage: csv_plot_bar.py [-h] [-v] [--title TEXT] [--facets column[,column]]
[--category column] [--category_orders JSON_STRING]
[--barmode {group,overlay,relative}]
[--animation_column column[:datetime_format]]
[--datetime DATETIME_FORMAT] [--xrange XMIN,XMAX]
[--yrange YMIN,YMAX] [--log_x] [--log_y]
[--noautoscale] [--error_x COLUMN] [--error_y COLUMN]
[--output FILE] [--format {svg,png,jpg,json,html}]
[--packed_html] [--width WIDTH] [--height HEIGHT]
CSV_FILE X_COLUMN_OR_Y_COLUMNS
[COLUMN[,COLUMN[,COLUMN..]]]
plot bar chart
positional arguments:
CSV_FILE csv files to read
X_COLUMN_OR_Y_COLUMNS
name of x column or names of y columns with csv format
COLUMN[,COLUMN[,COLUMN..]]
names of y colums
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
--title TEXT title of chart
--facets column[,column]
names of columns to make group with csv,
'row_facet,col_facet'
--category column name of column as category
--category_orders JSON_STRING
orders of elements in each category, with json format
--barmode {group,overlay,relative}
bar mode, default=relative
--animation_column column[:datetime_format]
name of column as aimation
--datetime DATETIME_FORMAT
format of x as datetime
--xrange XMIN,XMAX range of x
--yrange YMIN,YMAX range of y
--log_x log-scaled x axis
--log_y log-scaled y axis
--noautoscale not autoscale x or y for facets
--error_x COLUMN column name of error x
--error_y COLUMN column name of error y
--output FILE path of output file
--format {svg,png,jpg,json,html}
format of output, default=svg
--packed_html whether plotly.js is included in result html file,
this is enable only for --format=html
--width WIDTH width of output
--height HEIGHT height of output
remark:
plotly.express: high-level interface for data visualization 4.9.0 documentation https://plotly.com/python-api-reference/plotly.express.html
only x_or_y_column was given without y_columns, sequence numbers are used as x values that are generated atuomaticaly.
for animation column, colon ":" must be escaped by "". ex: "Animation\:Column".
if datetime column was used as column for animation, format of datetime should be defined.
see datetime Basic date and time types Python 3.9.4 documentation https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior
example:
csv_plot_bar.py --output=test.html test_bar.csv count
csv_plot_bar.py --format=html --category=medal --barmode=group test_bar.csv nation count
csv_plot_bar.py --output=test_bar_dt.html --category=medal --barmode=group --datetime="%Y-%m-%d %H:%M:%S" test_bar.csv dt count
input:
,nation,medal,count
0,South Korea,gold,24
1,China,gold,10
2,Canada,gold,9
3,South Korea,silver,13
4,China,silver,15
5,Canada,silver,12
6,South Korea,bronze,11
7,China,bronze,8
8,Canada,bronze,12
csv_plot_box.py
usage: csv_plot_box.py [-h] [-v] [--title TEXT] [--facets column[,column]]
[--category column] [--category_orders JSON_STRING]
[--animation_column column[:datetime_format]]
[--datetime DATETIME_FORMAT] [--xrange XMIN,XMAX]
[--yrange YMIN,YMAX] [--log_x] [--log_y]
[--noautoscale] [--type {box,violin}]
[--mode {group,overlay}]
[--points {outliers,suspectedoutliers,all,False}]
[--output FILE] [--format {svg,png,jpg,json,html}]
[--packed_html] [--width WIDTH] [--height HEIGHT]
CSV_FILE X_COLUMN [Y_COLUMN]
plot box chart
positional arguments:
CSV_FILE csv files to read
X_COLUMN name of colum as values or x-axis
Y_COLUMN name of colum as values
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
--title TEXT title of chart
--facets column[,column]
names of columns to make group with csv,
'row_facet,col_facet'
--category column name of column as category
--category_orders JSON_STRING
orders of elements in each category, with json format
--animation_column column[:datetime_format]
name of column as aimation
--datetime DATETIME_FORMAT
format of x as datetime
--xrange XMIN,XMAX range of x
--yrange YMIN,YMAX range of y
--log_x log-scaled x axis
--log_y log-scaled y axis
--noautoscale not autoscale x or y for facets
--type {box,violin} box or violin
--mode {group,overlay}
box mode or strip mode
--points {outliers,suspectedoutliers,all,False}
mode showing points
--output FILE path of output file
--format {svg,png,jpg,json,html}
format of output, default=svg
--packed_html whether plotly.js is included in result html file,
this is enable only for --format=html
--width WIDTH width of output
--height HEIGHT height of output
remark:
for animation column, colon ":" must be escaped by "". ex: "Animation\:Column".
if datetime column was used as column for animation, format of datetime should be defined.
see datetime Basic date and time types Python 3.9.4 documentation https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior
example:
import plotly.express as px
df = px.data.tips()
df.to_csv("test_strip.csv")
csv_plot_box.py --facets=wday --category=type --format=html test_strip.csv total time
csv_plot_box.py --category=type --format=html --type=violin test_strip.csv total time
csv_plot_box.py --output=test_box_dt.html --datetime="%Y-%m-%d %H:%M:%S" test_bar.csv dt
csv_plot_heatmap.py
usage: csv_plot_heatmap.py [-h] [-v] [--title TEXT] [--nbins_x INT]
[--nbins_y INT] [--contour]
[--side_hist {rug,box,violin,histogram}]
[--facets column[,column]]
[--hist_func {count,sum,avg,min,max}]
[--color_table {1,2,3,4,5,6,7,8,9,10,11,12}]
[--category_orders JSON_STRING]
[--animation_column column[:datetime_format]]
[--xrange XMIN,XMAX] [--yrange YMIN,YMAX] [--log_x]
[--log_y] [--noautoscale] [--output FILE]
[--format {svg,png,jpg,json,html}] [--packed_html]
[--width WIDTH] [--height HEIGHT]
CSV_FILE X_COLUMN Y_COLUMN [Z_COLUMN]
plot heatmap chart
positional arguments:
CSV_FILE csv files to read
X_COLUMN name of colum as x-axis
Y_COLUMN name of colum as y-axis
Z_COLUMN name of colum as z-axis
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
--title TEXT title of chart
--nbins_x INT number of bins for x-axis,default=10
--nbins_y INT number of bins for y-axis,default=10
--contour contour mode
--side_hist {rug,box,violin,histogram}
side histogram mode
--facets column[,column]
names of columns to make group with csv,
'row_facet,col_facet'
--hist_func {count,sum,avg,min,max}
function for histogram z-axis
--color_table {1,2,3,4,5,6,7,8,9,10,11,12}
color table for heat map, default=1
--category_orders JSON_STRING
orders of elements in each category, with json format
--animation_column column[:datetime_format]
name of column as aimation
--xrange XMIN,XMAX range of x
--yrange YMIN,YMAX range of y
--log_x log-scaled x axis
--log_y log-scaled y axis
--noautoscale not autoscale x or y for facets
--output FILE path of output file
--format {svg,png,jpg,json,html}
format of output, default=svg
--packed_html whether plotly.js is included in result html file,
this is enable only for --format=html
--width WIDTH width of output
--height HEIGHT height of output
remark:
for animation column, colon ":" must be escaped by "". ex: "Animation\:Column".
if datetime column was used as column for animation, format of datetime should be defined.
see datetime Basic date and time types Python 3.9.4 documentation https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior
example:
csv_plot_heatmap.py --xrange=0,.5 --yrange=0,.5 --format=html test_plot.csv ABC001 ABC002
csv_plot_histogram.py
usage: csv_plot_histogram.py [-h] [-v] [--title TEXT] [--nbins INT]
[--nbin_modes {square-root,sturges,rice,doane,s_and_s,freedman_diaconis}]
[--side_hist {rug,box,violin,histogram}]
[--facets column[,column]]
[--hist_func {count,sum,avg,min,max}]
[--category column]
[--category_orders JSON_STRING]
[--animation_column column[:datetime_format]]
[--datetime DATETIME_FORMAT] [--xrange XMIN,XMAX]
[--yrange YMIN,YMAX] [--log_x] [--log_y]
[--noautoscale] [--output FILE]
[--format {svg,png,jpg,json,html}]
[--packed_html] [--width WIDTH] [--height HEIGHT]
[--pareto_chart]
[--pareto_sort_mode {count,axis}]
CSV_FILE X_COLUMN [Y_COLUMN]
plot histogram chart with counting values
positional arguments:
CSV_FILE csv files to read
X_COLUMN name of colum as x-axis
Y_COLUMN name of colum as weight of histogram
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
--title TEXT title of chart
--nbins INT number of bins,default=10
--nbin_modes {square-root,sturges,rice,doane,s_and_s,freedman_diaconis}
method to evaluate number of bins. if given, '--nbins'
is ignored.
--side_hist {rug,box,violin,histogram}
side histogram mode
--facets column[,column]
names of columns to make group with csv,
'row_facet,col_facet'
--hist_func {count,sum,avg,min,max}
function for histogram z-axis
--category column name of column as category
--category_orders JSON_STRING
orders of elements in each category, with json format
--animation_column column[:datetime_format]
name of column as aimation
--datetime DATETIME_FORMAT
format of x as datetime
--xrange XMIN,XMAX range of x
--yrange YMIN,YMAX range of y
--log_x log-scaled x axis
--log_y log-scaled y axis
--noautoscale not autoscale x or y for facets
--output FILE path of output file
--format {svg,png,jpg,json,html}
format of output, default=svg
--packed_html whether plotly.js is included in result html file,
this is enable only for --format=html
--width WIDTH width of output
--height HEIGHT height of output
--pareto_chart pareto chart mode
--pareto_sort_mode {count,axis}
sort mode for pareto mode, default=asscending count
remark:
the column for '--facet' and '--ctegory' should have few uni values.
If '--xrange' was given, valuse in the column was clipped into the range and plotted with bins given by '--nbins'.
for '--pareto_chart', only followings are available
'--xrange', '--yrange', '--nbins', '--output', '--format', '--with', '--height', '--packed_html'
'--pareto_sort_mode=axis' may be usefull to estimate threhold.
for animation column, colon ":" must be escaped by "". ex: "Animation\:Column".
if datetime column was used as column for animation, format of datetime should be defined.
see datetime Basic date and time types Python 3.9.4 documentation https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior
about '--nbin_mode', see Histogram - Wikipedia https://en.wikipedia.org/wiki/Histogram .
NOTE 's_and_s' means Shimazaki and Shinomoto's choice.
example:
csv_plot_histogram.py --nbins=50 --category="ABC004" --xrange=0.4,0.6 --output=test_plot_hist.html test_plot.csv "ABC001" "ABC002"
csv_plot_histogram.py --nbins=50 --category="ABC004" --side_hist=rug --output=test_plot_hist.html test_plot.csv "ABC001" "ABC002"
csv_plot_histogram.py --nbins=50 --category="ABC004" --side_hist=rug --log_y --xrange=0.4,0.6 --output=test_plot_hist.html test_plot.csv "ABC001" "ABC002"
csv_plot_histogram.py --nbin_mode="square-root" --output=test_plot_hist.html test_plot.csv "ABC001" "ABC002"
csv_plot_histogram.py --output=test.html --pareto_chart --nbins=100 a10.csv value
csv_plot_histogram.py --output=test.html --pareto_chart --pareto_sort_mode=axis --nbins=100 a10.csv value
csv_plot_histogram.py --output=test_hist_dt.html --datetime="%Y-%m-%d %H:%M:%S" test_bar.csv dt
csv_plot_line.py
usage: csv_plot_line.py [-h] [-v] [--title TEXT] [--facets column[,column]]
[--category column] [--category_orders JSON_STRING]
[--animation_column column[:datetime_format]]
[--datetime DATETIME_FORMAT] [--xrange XMIN,XMAX]
[--yrange YMIN,YMAX] [--log_x] [--log_y]
[--noautoscale] [--error_x COLUMN] [--error_y COLUMN]
[--output FILE] [--format {svg,png,jpg,json,html}]
[--packed_html] [--width WIDTH] [--height HEIGHT]
CSV_FILE X_COLUMN_OR_Y_COLUMNS
[COLUMN[,COLUMN[,COLUMN..]]]
plot line chart
positional arguments:
CSV_FILE csv files to read
X_COLUMN_OR_Y_COLUMNS
name of x column or names of y columns with csv format
COLUMN[,COLUMN[,COLUMN..]]
names of y colums
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
--title TEXT title of chart
--facets column[,column]
names of columns to make group with csv,
'row_facet,col_facet'
--category column name of column as category
--category_orders JSON_STRING
orders of elements in each category, with json format
--animation_column column[:datetime_format]
name of column as aimation
--datetime DATETIME_FORMAT
format of x as datetime
--xrange XMIN,XMAX range of x
--yrange YMIN,YMAX range of y
--log_x log-scaled x axis
--log_y log-scaled y axis
--noautoscale not autoscale x or y for facets
--error_x COLUMN column name of error x
--error_y COLUMN column name of error y
--output FILE path of output file
--format {svg,png,jpg,json,html}
format of output, default=svg
--packed_html whether plotly.js is included in result html file,
this is enable only for --format=html
--width WIDTH width of output
--height HEIGHT height of output
remark:
plotly.express: high-level interface for data visualization 4.9.0 documentation https://plotly.com/python-api-reference/plotly.express.html
only x_or_y_column was given without y_columns, sequence numbers are used as x values that are generated atuomaticaly.
for animation column, colon ":" must be escaped by "". ex: "Animation\:Column".
if datetime column was used as column for animation, format of datetime should be defined.
see datetime Basic date and time types Python 3.9.4 documentation https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior
example:
csv_plot_line.py --facets=COL_0006 --output=test.html big_sample_arb.csv COL_0008,COL_0033,COL_0097
csv_plot_line.py --facets=COL_0006 --format html big_sample_arb.csv COL_0000 COL_0008,COL_0033,COL_0097
csv_plot_line.py --output=test_line_dt.html --datetime="%Y-%m-%d %H:%M:%S" test_bar.csv dt count
csv_plot_line_3d.py
usage: csv_plot_line_3d.py [-h] [-v] [--title TEXT] [--category column]
[--category_orders JSON_STRING]
[--animation_column column[:datetime_format]]
[--xrange XMIN,XMAX] [--yrange YMIN,YMAX]
[--zrange ZMIN,ZMAX] [--log_x] [--log_y] [--log_z]
[--error_x COLUMN] [--error_y COLUMN]
[--error_z COLUMN] [--output FILE]
[--format {svg,png,jpg,json,html}] [--packed_html]
[--width WIDTH] [--height HEIGHT]
CSV_FILE X_COLUMN Y_COLUMN Z_COLUMN
plot 3d line chart
positional arguments:
CSV_FILE csv files to read
X_COLUMN name of x column
Y_COLUMN name of y column
Z_COLUMN name of z column
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
--title TEXT title of chart
--category column name of column as category
--category_orders JSON_STRING
orders of elements in each category, with json format
--animation_column column[:datetime_format]
name of column as aimation
--xrange XMIN,XMAX range of x
--yrange YMIN,YMAX range of y
--zrange ZMIN,ZMAX range of z
--log_x log-scaled x axis
--log_y log-scaled y axis
--log_z log-scaled z axis
--error_x COLUMN column name of error x
--error_y COLUMN column name of error y
--error_z COLUMN column name of error z
--output FILE path of output file
--format {svg,png,jpg,json,html}
format of output, default=svg
--packed_html whether plotly.js is included in result html file,
this is enable only for --format=html
--width WIDTH width of output
--height HEIGHT height of output
remark:
plotly.express.line_3d 4.11.0 documentation https://plotly.com/python-api-reference/generated/plotly.express.line_3d.html#plotly.express.line_3d
for animation column, colon ":" must be escaped by "". ex: "Animation\:Column".
if datetime column was used as column for animation, format of datetime should be defined.
see datetime Basic date and time types Python 3.9.4 documentation https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior
example:
csv_plot_line_3d.py --format=html --category=COL_0006 big_sample_arb.csv COL_0008 COL_0033 COL_0097
csv_plot_parallel_coordinates.py
usage: csv_plot_parallel_coordinates.py [-h] [-v] [--title TEXT] [--discrete]
[--ignore_key]
[--color_table {1,2,3,4,5,6,7,8,9,10,11,12}]
[--xrange XMIN,XMAX]
[--animation_column column[:datetime_format]]
[--output FILE]
[--format {svg,png,jpg,json,html}]
[--packed_html] [--width WIDTH]
[--height HEIGHT]
CSV_FILE KEY COLUMNS
plot parallel_coordinates chart
positional arguments:
CSV_FILE csv files to read
KEY name of key column
COLUMNS names of colums
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
--title TEXT title of chart
--discrete discrete mode
--ignore_key ignore key column
--color_table {1,2,3,4,5,6,7,8,9,10,11,12}
color table for heat map, default=1
--xrange XMIN,XMAX range of x
--animation_column column[:datetime_format]
name of column as aimation
--output FILE path of output file
--format {svg,png,jpg,json,html}
format of output, default=svg
--packed_html whether plotly.js is included in result html file,
this is enable only for --format=html
--width WIDTH width of output
--height HEIGHT height of output
remark:
key colmun must have only numeric values.
all others columns has numeric values.
if columns has discrete values, then use '--discrete'.
for animation column, colon ":" must be escaped by "". ex: "Animation\:Column".
if datetime column was used as column for animation, format of datetime should be defined.
see datetime Basic date and time types Python 3.9.4 documentation https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior
example:
csv_plot_parallel_coordinates.py --format=html big_sample_arb.csv COL_0097 COL_0008,COL_0033
csv_plot_parallel_coordinates.py --format=html --discrete big_sample_arb.csv COL_0008 COL_0006,COL_0002,COL_0023
csv_plot_polar.py
usage: csv_plot_polar.py [-h] [-v] [--title TEXT] [--category column]
[--category_orders JSON_STRING] [--rrange RMIN,RMAX]
[--thrange THMIN,THMAX] [--log_r]
[--direction {counterclockwise,clockwise}]
[--start_angle START_ANGLE] [--clock]
[--type {scatter,line,bar}] [--line_close]
[--line_shape {linear,spline}]
[--animation_column column[:datetime_format]]
[--output FILE] [--format {svg,png,jpg,json,html}]
[--packed_html] [--width WIDTH] [--height HEIGHT]
CSV_FILE R_COLUMN THETA_COLUMN [WEIGHT_COLUMN]
plot polar chart
positional arguments:
CSV_FILE csv files to read
R_COLUMN name of colum as radius
THETA_COLUMN name of colum as theta
WEIGHT_COLUMN name of colum as weight
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
--title TEXT title of chart
--category column name of column as category
--category_orders JSON_STRING
orders of elements in each category, with json format
--rrange RMIN,RMAX range of radius
--thrange THMIN,THMAX
range of theta
--log_r log-scaled radius
--direction {counterclockwise,clockwise}
direction of rotation
--start_angle START_ANGLE
angle for starting plot [deg]
--clock equal to --start_angle=90 --direction='clockwise': '--
start_angle'and '--direction' are ignored.
--type {scatter,line,bar}
chart type
--line_close line closing mode, available for only line chart
--line_shape {linear,spline}
line shape, available for only line chart
--animation_column column[:datetime_format]
name of column as aimation
--output FILE path of output file
--format {svg,png,jpg,json,html}
format of output, default=svg
--packed_html whether plotly.js is included in result html file,
this is enable only for --format=html
--width WIDTH width of output
--height HEIGHT height of output
remark:
for animation column, colon ":" must be escaped by "". ex: "Animation\:Column".
if datetime column was used as column for animation, format of datetime should be defined.
see datetime Basic date and time types Python 3.9.4 documentation https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior
example:
import plotly.express as px
df = px.data.wind()
df.to_csv("test_polar.csv")
head test_polar.csv
,direction,strength,frequency
0,N,0-1,0.5
1,NNE,0-1,0.6
2,NE,0-1,0.5
3,ENE,0-1,0.4
# for string dierction, use '--start_angle=90 --direction="clockwise"'
csv_plot_polar.py --format=html --category=strength --start_angle=90 --direction="clockwise" test_polar.csv frequency direction frequency
csv_plot_polar.py --format=html --type=line --category=strength --line_close --line_shape=spline --start_angle=90 --direction="clockwise" test_polar.csv frequency direction frequency
csv_plot_quiver.py
usage: csv_plot_quiver.py [-h] [-v] [--title TEXT] [--x_title TEXT]
[--y_title TEXT] [--arrow_size ASIZE]
[--line_width LWIDTH] [--streamline NGRIDX,NGRIDY]
[--xrange XMIN,XMAX] [--yrange YMIN,YMAX] [--log_x]
[--log_y] [--output FILE]
[--format {svg,png,jpg,json,html}] [--packed_html]
[--width WIDTH] [--height HEIGHT]
CSV_FILE X_COLUMN Y_COLUMN U_COLUMN V_COLUMN
plot quiver chart
positional arguments:
CSV_FILE csv files to read
X_COLUMN name of x column
Y_COLUMN name of y column
U_COLUMN name of u column
V_COLUMN name of v column
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
--title TEXT title of chart
--x_title TEXT title of x axis
--y_title TEXT title of y axis
--arrow_size ASIZE size factor of arrow,[0,1]
--line_width LWIDTH width of line of arrow
--streamline NGRIDX,NGRIDY
[exp]stream line mode
--xrange XMIN,XMAX range of x
--yrange YMIN,YMAX range of y
--log_x log-scaled x axis
--log_y log-scaled y axis
--output FILE path of output file
--format {svg,png,jpg,json,html}
format of output, default=svg
--packed_html whether plotly.js is included in result html file,
this is enable only for --format=html
--width WIDTH width of output
--height HEIGHT height of output
remark:
Quiver Plots | Python | Plotly https://plotly.com/python/quiver-plots/
example:
csv_plot_quiver.py --title="sample of quiver chart" --format=html test_quiver.csv X Y U V
csv_plot_quiver.py --title="sample of quiver chart" --streamline=10,10 --format=html test_quiver.csv X Y U V
csv_plot_scatter.py
usage: csv_plot_scatter.py [-h] [-v] [--title TEXT]
[--side_hist {rug,box,violin,histogram}]
[--facets column[,column]] [--category column]
[--category_orders JSON_STRING]
[--size_column column]
[--animation_column column[:datetime_format]]
[--trendline {ols,lowess}]
[--x_datetime DATETIME_FORMAT]
[--y_datetime DATETIME_FORMAT] [--xrange XMIN,XMAX]
[--yrange YMIN,YMAX] [--log_x] [--log_y]
[--noautoscale] [--error_x COLUMN]
[--error_y COLUMN] [--output FILE]
[--format {svg,png,jpg,json,html}] [--packed_html]
[--width WIDTH] [--height HEIGHT]
CSV_FILE X_COLUMN Y_COLUMN
plot scatter chart
positional arguments:
CSV_FILE csv files to read
X_COLUMN name of x column
Y_COLUMN name of y column
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
--title TEXT title of chart
--side_hist {rug,box,violin,histogram}
side histogram mode
--facets column[,column]
names of columns to make group with csv,
'row_facet,col_facet'
--category column name of column as category
--category_orders JSON_STRING
orders of elements in each category, with json format
--size_column column name of column as size of symbol
--animation_column column[:datetime_format]
name of column as aimation
--trendline {ols,lowess}
trendline mode
--x_datetime DATETIME_FORMAT
format of x as datetime
--y_datetime DATETIME_FORMAT
format of y as datetime
--xrange XMIN,XMAX range of x
--yrange YMIN,YMAX range of y
--log_x log-scaled x axis
--log_y log-scaled y axis
--noautoscale not autoscale x or y for facets
--error_x COLUMN column name of error x
--error_y COLUMN column name of error y
--output FILE path of output file
--format {svg,png,jpg,json,html}
format of output, default=svg
--packed_html whether plotly.js is included in result html file,
this is enable only for --format=html
--width WIDTH width of output
--height HEIGHT height of output
remark:
plotly.express: high-level interface for data visualization 4.9.0 documentation https://plotly.com/python-api-reference/plotly.express.html
trendline mode:
ols=Ordinary Least Squares regression line will be drawn for each discrete-color/symbol group
lowess=a Locally Weighted Scatterplot Smoothing line will be drawn for each discrete-color/symbol group.
see plotly.express.scatter 4.10.0 documentation https://plotly.com/python-api-reference/generated/plotly.express.scatter.html
for animation column, colon ":" must be escaped by "". ex: "Animation\:Column".
if datetime column was used as column for animation, format of datetime should be defined.
see datetime Basic date and time types Python 3.9.4 documentation https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior
statsmodels
example:
csv_plot_scatter.py --format=html --category=COL_0006 --size_column=COL_0097 --side_hist=rug big_sample_arb.csv COL_0008 COL_0003
csv_plot_scatter_3d.py
usage: csv_plot_scatter_3d.py [-h] [-v] [--title TEXT] [--category column]
[--category_orders JSON_STRING]
[--size_column column]
[--animation_column column[:datetime_format]]
[--xrange XMIN,XMAX] [--yrange YMIN,YMAX]
[--zrange ZMIN,ZMAX] [--log_x] [--log_y]
[--log_z] [--error_x COLUMN] [--error_y COLUMN]
[--error_z COLUMN] [--output FILE]
[--format {svg,png,jpg,json,html}]
[--packed_html] [--width WIDTH]
[--height HEIGHT]
CSV_FILE X_COLUMN Y_COLUMN Z_COLUMN
plot 3d scatter chart
positional arguments:
CSV_FILE csv files to read
X_COLUMN name of x column
Y_COLUMN name of y column
Z_COLUMN name of z column
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
--title TEXT title of chart
--category column name of column as category
--category_orders JSON_STRING
orders of elements in each category, with json format
--size_column column name of column as size of symbol
--animation_column column[:datetime_format]
name of column as aimation
--xrange XMIN,XMAX range of x
--yrange YMIN,YMAX range of y
--zrange ZMIN,ZMAX range of z
--log_x log-scaled x axis
--log_y log-scaled y axis
--log_z log-scaled z axis
--error_x COLUMN column name of error x
--error_y COLUMN column name of error y
--error_z COLUMN column name of error z
--output FILE path of output file
--format {svg,png,jpg,json,html}
format of output, default=svg
--packed_html whether plotly.js is included in result html file,
this is enable only for --format=html
--width WIDTH width of output
--height HEIGHT height of output
remark:
plotly.express.scatter_3d 4.11.0 documentation https://plotly.com/python-api-reference/generated/plotly.express.scatter_3d.html
for animation column, colon ":" must be escaped by "". ex: "Animation\:Column".
if datetime column was used as column for animation, format of datetime should be defined.
see datetime Basic date and time types Python 3.9.4 documentation https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior
example:
csv_plot_scatter_3d.py --format=html --category=COL_0006 big_sample_arb.csv COL_0008 COL_0033 COL_0097
csv_plot_scatter_3d.py --format=html --category=COL_0006 --size_column=COL_0107 big_sample_arb.csv COL_0008 COL_0033 COL_0097
csv_plot_scatter_matrix.py
usage: csv_plot_scatter_matrix.py [-h] [-v] [--title TEXT] --columns
COLUMNS,COLUMNS[,COLUMNS...]
[--category COLUMN]
[--category_orders JSON_STRING]
[--output FILE]
[--format {svg,png,jpg,json,html}]
[--packed_html] [--width WIDTH]
[--height HEIGHT]
CSV_FILE
plot scatter matrix
positional arguments:
CSV_FILE csv files to read
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
--title TEXT title of chart
--columns COLUMNS,COLUMNS[,COLUMNS...]
list of names of columns with csv
--category COLUMN name of column to make group
--category_orders JSON_STRING
orders of elements in each category, with json format
--output FILE path of output file
--format {svg,png,jpg,json,html}
format of output, default=svg
--packed_html whether plotly.js is included in result html file,
this is enable only for --format=html
--width WIDTH width of output
--height HEIGHT height of output
example:
csv_plot_scatter_matrix.py --columns="ABC001","ABC002","ABC003" --category="ABC004" --output=test.png test_plot.csv
csv_plot_strip.py
usage: csv_plot_strip.py [-h] [-v] [--title TEXT] [--facets column[,column]]
[--category column] [--category_orders JSON_STRING]
[--animation_column column[:datetime_format]]
[--datetime DATETIME_FORMAT] [--xrange XMIN,XMAX]
[--yrange YMIN,YMAX] [--log_x] [--log_y]
[--noautoscale] [--mode {group,overlay}]
[--output FILE] [--format {svg,png,jpg,json,html}]
[--packed_html] [--width WIDTH] [--height HEIGHT]
CSV_FILE X_COLUMN [Y_COLUMN]
plot strip chart
positional arguments:
CSV_FILE csv files to read
X_COLUMN name of colum as x-axis
Y_COLUMN name of colum as weight of histogram
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
--title TEXT title of chart
--facets column[,column]
names of columns to make group with csv,
'row_facet,col_facet'
--category column name of column as category
--category_orders JSON_STRING
orders of elements in each category, with json format
--animation_column column[:datetime_format]
name of column as aimation
--datetime DATETIME_FORMAT
format of x as datetime
--xrange XMIN,XMAX range of x
--yrange YMIN,YMAX range of y
--log_x log-scaled x axis
--log_y log-scaled y axis
--noautoscale not autoscale x or y for facets
--mode {group,overlay}
strip mode
--output FILE path of output file
--format {svg,png,jpg,json,html}
format of output, default=svg
--packed_html whether plotly.js is included in result html file,
this is enable only for --format=html
--width WIDTH width of output
--height HEIGHT height of output
remark:
Using a Strip Chart - Accendo Reliability https://accendoreliability.com/using-strip-chart/
When there is scant data a histogram or box plot just is not informative.
This is a great use for a one dimensional scatter plot, dot plot, or a what is called a strip chart in R.
for animation column, colon ":" must be escaped by "". ex: "Animation\:Column".
if datetime column was used as column for animation, format of datetime should be defined.
see datetime Basic date and time types Python 3.9.4 documentation https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior
example:
import plotly.express as px
df = px.data.tips()
df.to_csv("test_strip.csv")
csv_plot_strip.py --facets=wday --category=type --format=html test_strip.csv total time
csv_plot_strip.py --output=test_strip_dt.html --datetime="%Y-%m-%d %H:%M:%S" test_bar.csv dt count
csv_plot_csvtk.sh
plot histogram by graphical character.
Usage: csv_plot_csvtk.sh [-s] csv_file x_column y_column [group_column]
Usage: csv_plot_csvtk.sh -t csv_file column
arguments:
csv_file : path of csv file
x_column : name of column for x
y_column : name of column for y
column : name of column to make histogram
group_column: name of column for grouping
options:
-s : scatter plot
-t : histogram mode for one colun
example:
csv_plot_csvtk.sh -s big_sample_arb.csv COL_0008 COL_0033 COL_0006
csv_plot_csvtk.sh -t test_plot.csv COL_0000
csv_plot_subplot_line.sh
plot multi-columns in csv file as subplot of line chart
Usage: csv_plot_subplot_line.sh [-o output_html] [-t tile] [-p options_of_csv_plot_line] csv_file key_column plot_colun[,plot_column...]
options:
-o output_html: default={prefix of input file}.html
-t title : title of chart
-p options: options of csv_plot_line.py by string
example:
csv_plot_subplot_line.sh -t "a b c" -p "--log_y" test_plot.csv ABC000 ABC001,ABC002,ABC003