Saving a Pandas DataFrame as an image can be useful for presenting data in a visually accessible format. While HTML conversion can provide a solution, this article focuses on creating a PNG image.
By utilizing matplotlib, Pandas allows for table plotting. To save a table as a PNG image without unnecessary aesthetics, follow these steps:
<code class="python">import matplotlib.pyplot as plt import pandas as pd from pandas.plotting import table # Suppress axes and labels ax = plt.subplot(111, frame_on=False) ax.xaxis.set_visible(False) ax.yaxis.set_visible(False) table(ax, df) # Replace 'df' with your DataFrame # Save the plot as a PNG plt.savefig('mytable.png')</code>
To simulate multi-indexes when applying the above method:
Reset the multi-indexes to normal columns:
<code class="python">df = df.reset_index()</code>
Remove duplicate higher-order multi-index columns:
<code class="python">df.ix[df.duplicated('first') , 'first'] = ''</code>
Replace multi-index column names with empty strings:
<code class="python">new_cols = df.columns.values new_cols[:2] = '','' df.columns = new_cols</code>
Set table row labels to empty strings (to suppress display):
<code class="python">table(ax, df, rowLabels=['']*df.shape[0], loc='center')</code>
With these adjustments, a multi-indexed table can be represented as a PNG image.
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