I receive an ValueError: min() arg is an empty sequence
when trying to convert a pandas dataframe plot to plotly.
Here is a sample of the dataframe (with NaNs):
ttab.loc[:,:"Irish"]
Group English (British) Americans (White) Canadians Scots Irish
Year
1926 1 2 3 4 5
1946 3 1 2 5 4
1956 3 1 2 7 5
1966 2 1 3 9 5
1977 2 1 3 9 7
1993 2 NaN NaN 6 1
2001 4 1 3 NaN 5
2001* 4 1 3 NaN 5
2012 4 1 3 NaN 6
I make a pretty plot:
# Time It
import time
begin = time.clock()
# Inline plotting
%matplotlib inline
# Import libraries
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
from pandas.tools.plotting import scatter_matrix
# (*) To communicate with Plotly's server, sign in with credentials file
import plotly.plotly as py
# (*) Useful Python/Plotly tools
import plotly.tools as tls
# (*) Graph objects to piece together plots
from plotly.graph_objs import *
# Read, clean, slice data here...
# Rename columns, examine, rename groups here...
# Merge, set index, transpose dataframe here....
# Change datatype to float here...
# Define color palette here...
# Now Plot...
# Package all mpl plotting commands inside one function
def plot_mpl_fig():
# plot parameters
figsize = (12,12)
axfontsize = 16
legfontsize = 14
labfontsize = 18
yax = (30,0)
lw = 2
# Interpolate NaNs and plot as dashed lines
ax = ttab.loc[:,:'Asian Indians'].interpolate().plot(color=colorlist, ylim=yax, lw=lw, fontsize=axfontsize, \
figsize=figsize, style='--')
# Overplot the measured values with solid lines
ttab.loc[:,:'Asian Indians'].plot(ax=ax, color=colorlist, ylim=yax, lw=lw, fontsize=axfontsize, figsize=figsize)
# Legend handling
lines, labels = ax.get_legend_handles_labels()
ax.legend(lines[28:], labels[28:], loc='center left', bbox_to_anchor=(-0.3, 0.5), fontsize=legfontsize)
# Labeling
plt.xlabel('Year',fontsize=labfontsize)
plt.ylabel('Rank',fontsize=labfontsize)
# Plot it!
plot_mpl_fig()
# N.B. get matplotlib figure object and assign a variable to it
mpl_fig1 = plt.figure()
And then I try to convert by following the example at: https://plot.ly/python/matplotlib-to-plotly-tutorial/
Quickstart:
>>> import plotly.plotly as py
>>> import matplotlib.pyplot as plt
>>> # auto sign-in with credentials or use py.sign_in()
>>> mpl_fig_obj= plt.figure()
>>> # ... make a matplotlib figure ...
>>> py.plot_mpl(mpl_fig1) # <== ValueError
Or Tutorial at Section 6.1:
# Convert a matplotlib figure object to a Plotly figure object
help(tls.mpl_to_plotly)
py_fig1 = tls.mpl_to_plotly(mpl_fig1, verbose=True) # <== ValueError
print(py_fig1.to_string())
# Plot a matplotlib figure in Plotly
help(py.iplot_mpl)
py.iplot_mpl(mpl_fig1, filename='s6_damped_oscillation') # <== ValueError
Anytime I call plot_mpl
, mpl_to_plotly
, or iplot_mpl
I get the ValueError: min() arg is an empty sequence
. I think it might have to do with the NaNs, but I don't know how to work around that. Any suggestions?
It looks like mpl_to_plotly requires using axes.plot(), not plt.plot(). The following code works in a Jupyter Notebook.
import plotly.offline as py
from plotly.offline import init_notebook_mode, iplot
import plotly.tools as tls
import matplotlib.pylab as plt
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
init_notebook_mode(connected=True)
fig = plt.Figure()
ax = fig.gca()
x = [-2,0,4,6,7]
y = [q**2-q+3 for q in x]
ax.plot(x,y)
canvas = FigureCanvas(fig)
plotly_fig = tls.mpl_to_plotly(fig)
py.iplot(plotly_fig)
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With