graphing – Page 2 – Make Me Engineer

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”)

Ways to resolve an ‘invalid value encountered’ in matplotlib surface plot of sin(x)/x?

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

Matplotlib – Move X-Axis label downwards, but not X-Axis Ticks

use labelpad parameter: pl.xlabel(“…”, labelpad=20) or set it after: ax.xaxis.labelpad = 20

Matplotlib log scale tick label number formatting

Sure, just change the formatter. For example, if we have this plot: import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.axis([1, 10000, 1, 100000]) ax.loglog() plt.show() You could set the tick labels manually, but then the tick locations and labels would be fixed when you zoom/pan/etc. Therefore, it’s best to change the formatter. By default, … Read more

Matplotlib – label each bin

Sure! To set the ticks, just, well… Set the ticks (see matplotlib.pyplot.xticks or ax.set_xticks). (Also, you don’t need to manually set the facecolor of the patches. You can just pass in a keyword argument.) For the rest, you’ll need to do some slightly more fancy things with the labeling, but matplotlib makes it fairly easy. … Read more

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