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I am trying to plot a multiple columns in a line graph with 'Month' as the X axis and each 'Count' as a new line. I want it to have 5 lines, 'Count-18..Count-14'. I tried plotting 1 line as a test but when I run the following code I get the following output with no graph. Any ideas?
ax = plt.gca()
DomReg1418.plot(kind='line',x='Month',y='Count-18',ax=ax)
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Pandas has a tight integration with Matplotlib. You can plot data directly from your DataFrame using the plot() method. To plot multiple data columns in single frame we simply have to pass the list of columns to the y argument of the plot function.
You can plot multiple lines from the data provided by a Dataframe in python using matplotlib. You can do it by specifying different columns of the dataframe as the x and y-axis parameters in the matplotlib. pyplot. plot() function.
Return Multiple Columns from pandas apply() You can return a Series from the apply() function that contains the new data. pass axis=1 to the apply() function which applies the function multiply to each row of the DataFrame, Returns a series of multiple columns from pandas apply() function.
When you have a DataFrame with one column to be used as X axis and other as a source of lines to draw, you should:
The code to do it is:
DomReg1418.set_index('Month').plot();
For the test, I entered X and 3 Count columns, for first 6 months and executed the above command, getting the following result:
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