I want to plot changes in monthly values from dataset spanning over few years with matplot.pylib, pandas

It is much easier if you split Year/month columns to separate series for each year import pandas as pd import matplotlib.pyplot as plt fig, axes = plt.subplots(figsize=(6,4)) df = pd.read_csv(“data.csv”) df2 = pd.pivot_table(df, index=”Month”, columns=[“Year”]) df2 = df2.reindex([‘January’, ‘February’, ‘March’, ‘April’, ‘May’, ‘July’, ‘August’, ‘September’, ‘October’, ‘November’, ‘December’]) df2.plot(ax=axes) fig.savefig(“plot.png”)

3d GNUPLOT Animation With Multiple Graphs

I needed to switch it to all within one splot command like so: # define fixed axis-ranges # filename and n=number of lines of your data filedata=”Sun_t_v_state.dat” filedata2 = ‘Mercury_v_state.dat’ filedata3 = ‘Venus_t_v_state.dat’ filedata4 = ‘Earth_t_v_state.dat’ filedata5 = ‘Mars_t_v_state.dat’ filedata6 = ‘Jupiter_t_v_state.dat’ filedata7 = ‘Saturn_t_v_state.dat’ filedata8 = ‘Uranus_t_v_state.dat’ filedata9 = ‘Neptune_t_v_state.dat’ filedata10 = ‘Pluto_t_v_state.dat’ n … Read more