numpy - Create a heatmap using python -


i've simple csv in-fact a matrix 

row/data, field_1, field_2, field_3 row_1, 223, 231, 5454  row_2, 4545, 4343, 23423 row_3, 3433, 325454, 34343

i generate heatmap in python axis labels being field names , rows names.

what recommended library use task?

we can use seaborn.heatmap method:

in [28]: import seaborn sns  in [29]: df out[29]:   row/data  field_1  field_2  field_3 0    row_1      223      231     5454 1    row_2     4545     4343    23423 2    row_3     3433   325454    34343  in [30]: sns.heatmap(df.set_index('row/data'), annot=true, fmt='g') out[30]: <matplotlib.axes._subplots.axessubplot @ 0xc839358>

yields:

enter image description here

or transposed:

in [32]: sns.heatmap(df.set_index('row/data').t, annot=true, fmt='g') out[32]: <matplotlib.axes._subplots.axessubplot @ 0xc341470>

enter image description here

  • first check pandas visualization online docs - whether can cover needs.

  • seaborn module pretty useful when working pandas data sets - check seaborn gallery - has couple of methods, not implemented in pandas

  • another greate visualization module bokeh, when need produce html reports.

  • and last not least - plot.ly - great online visualization tool.


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