[python] Plot different DataFrames in the same figure

If you a running Jupyter/Ipython notebook and having problems using;

ax = df1.plot()

df2.plot(ax=ax)

Run the command inside of the same cell!! It wont, for some reason, work when they are separated into sequential cells. For me at least.

Examples related to python

programming a servo thru a barometer Is there a way to view two blocks of code from the same file simultaneously in Sublime Text? python variable NameError Why my regexp for hyphenated words doesn't work? Comparing a variable with a string python not working when redirecting from bash script is it possible to add colors to python output? Get Public URL for File - Google Cloud Storage - App Engine (Python) Real time face detection OpenCV, Python xlrd.biffh.XLRDError: Excel xlsx file; not supported Could not load dynamic library 'cudart64_101.dll' on tensorflow CPU-only installation

Examples related to matplotlib

"UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure." when plotting figure with pyplot on Pycharm How to increase image size of pandas.DataFrame.plot in jupyter notebook? How to create a stacked bar chart for my DataFrame using seaborn? How to display multiple images in one figure correctly? Edit seaborn legend How to hide axes and gridlines in Matplotlib (python) How to set x axis values in matplotlib python? How to specify legend position in matplotlib in graph coordinates Python "TypeError: unhashable type: 'slice'" for encoding categorical data Seaborn Barplot - Displaying Values

Examples related to pandas

xlrd.biffh.XLRDError: Excel xlsx file; not supported Pandas Merging 101 How to increase image size of pandas.DataFrame.plot in jupyter notebook? Trying to merge 2 dataframes but get ValueError Python Pandas User Warning: Sorting because non-concatenation axis is not aligned How to show all of columns name on pandas dataframe? Pandas/Python: Set value of one column based on value in another column Python Pandas - Find difference between two data frames Pandas get the most frequent values of a column Python convert object to float