python - Pandas dataframe as input for matplotlib.pyplot.boxplot -


i have pandas dataframe looks this:

[('1975801_m', 1      0.203244 10    -0.159756 16    -0.172756 19    -0.089756 20    -0.033756 23    -0.011756 24     0.177244 32     0.138244 35    -0.104756 36     0.157244 40     0.108244 41     0.032244 42     0.063244 45     0.362244 59    -0.093756 62    -0.070756 65    -0.030756 66    -0.100756 73    -0.140756 77    -0.110756 81    -0.100756 84    -0.090756 86    -0.180756 87     0.119244 88     0.709244 102   -0.030756 105   -0.000756 107   -0.010756 109    0.039244 111    0.059244 name: rtdiff), ('3878418_m', 1637    0.13811 1638   -0.21489 1644   -0.15989 1657   -0.11189 1662   -0.03289 1666   -0.09489 1669    0.03411 1675   -0.00489 1676    0.03511 1677    0.39711 1678   -0.02289 1679   -0.05489 1681   -0.01989 1691    0.14411 1697   -0.10589 1699    0.09411 1705    0.01411 1711   -0.12589 1713    0.04411 1715    0.04411 1716    0.01411 1731    0.06411 1738   -0.25589 1741   -0.21589 1745    0.39411 1746   -0.13589 1747   -0.10589 1748    0.08411 name: rtdiff)

i use input mtplotlib.pyplot.boxplot function.

the error matplotlib.pyplot.boxplot(mydataframe) valueerror: cannot set array element sequence

i tried use list(mydataframe) instead of mydataframe. fails same error.

i tried matplotlib.pyplot.boxplot(np.fromiter(mydataframe, np.float)) - fails valueerror: setting array element sequence.

it's not clear data in dataframe. appears list of series objects.

once it's in dataframe, trick here create figure , axes ahead of time , use **kwargs use matplotlib.axes.boxplot. need make sure data dataframe , not series

import numpy np import matplotlib.pyplot plt import pandas  fig, ax = plt.subplots() df = pandas.dataframe(np.random.normal(size=(37,5)), columns=list('abcde')) df.boxplot(ax=ax, positions=[2,3,4,6,8], notch=true, bootstrap=5000) ax.set_xticks(range(10)) ax.set_xticklabels(range(10)) plt.show()

which gives me:boxplots

failing that, can take similar approach, looping through columns plot using ax object directly.

import numpy np import matplotlib.pyplot plt import pandas  df = pandas.dataframe(np.random.normal(size=(37,5)), columns=list('abcde')) fig, ax = plt.subplots() n, col in enumerate(df.columns):     ax.boxplot(df[col], positions=[n+1], notch=true)  ax.set_xticks(range(10)) ax.set_xticklabels(range(10)) plt.show()

which gives: more boxplots


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