df_box = df.copy()
df_box.reset_index(inplace=True)
df_box['year'] = [d.year for d in df_box.date]
df_box['month'] = [d.strftime('%b') for d in df_box.date]
axes = plt.subplots(nrows =1, ncols =2, figsize=(12,5))
#= plt.figure(figsize=(12,5))
#fig1 = plt.subplot(1,2,1)
axes[0] = sns.boxplot(ax = axes[0], data=df_box, x=df_box["year"], y=df_box["value"])
axes[0].set_title("Year-Wise Box Plot(Trend)")
axes[0].set(xlabel="Year", ylabel = "Page views")
#fig2= plt.figure(figsize=(12,5))
#fig2 = plt.subplot(1,2,2)
Order =["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"]
axes[1] = sns.boxplot(ax = axes[1], data=df_box, x=df_box["month"], y=df_box["value"], order =["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"])
axes[1].set_title("Month-Wise Box Plot(Seasonality)")
axes[1].set(xlabel="Month", ylabel = "Page views")
plt.show()
Could you paste the complete code? Could you paste the exact error (traceback)?
1 Like
Yes sanity, I have solved that particular problem. But can you help me with this.
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
from pandas.plotting import register_matplotlib_converters
register_matplotlib_converters()
# Import data (Make sure to parse dates. Consider setting index column to 'date'.)
df = pd.read_csv("fcc-forum-pageviews.csv", index_col = ["date"], parse_dates = True)
# Clean data
df = df[(df["value"]>=df["value"].quantile(0.025)) & (df["value"]<=df["value"].quantile(0.975))]
def draw_line_plot():
# Draw line plot
fig = plt.figure(figsize = (6,6))
plt.plot( df["value"], "r")
plt.title("Daily freeCodeCamp Forum Page Views 5/2016-12/2019")
plt.xlabel("Date")
plt.ylabel("Page Views")
#plt.show()
# Save image and return fig (don't change this part)
fig.savefig('line_plot.png')
return fig
def draw_bar_plot():
# Copy and modify data for monthly bar plot
df["month"]=df.index.month
df["years"]= df.index.year
df["day"] = df.index.day
df_bar = df.groupby(["years", "month"])["value"].mean()
df_bar = df_bar.unstack()
# Draw bar plot
fig = plt.figure(figsize = (10,5))
#df_bar.plt.bar()
fig = df_bar.plot.bar()
plt.xlabel("Years")
plt.ylabel("Average Page Views")
Months = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"]
plt.legend( title ="Months", labels = Months)
#plt.show()
# Save image and return fig (don't change this part)
#fig.savefig('bar_plot.png')
return fig
def draw_box_plot():
# Prepare data for box plots (this part is done!)
df_box = df.copy()
df_box.reset_index(inplace=True)
df_box['year'] = [d.year for d in df_box.date]
df_box['month'] = [d.strftime('%b') for d in df_box.date]
# Draw box plots (using Seaborn)
df_box["month_no"] = df_box['date'].dt.month
df_box = df_box.sort_values("month_no")
fig, (ax1,ax2) = plt.subplots(1,2, figsize=(12,5))
ax1 = sns.boxplot(ax = ax1, data=df_box, x=df_box["year"], y=df_box["value"])
ax1.set_title("Year-wise Box Plot (Trend)")
ax1.set(xlabel="Year", ylabel = "Page Views")
ax2 = sns.boxplot(ax = ax2, data=df_box, x=df_box["month"], y=df_box["value"])
ax2.set_title("Month-wise Box Plot (Seasonality)")
ax2.set(xlabel="Month", ylabel = "Page Views")
#plt.show()
# Save image and return fig (don't change this part)
fig.savefig('box_plot.png')
return fig
Here is the error message
python main.py
Matplotlib created a temporary config/cache directory at /tmp/matplotlib-b89cg4gs because the default path (/config/matplotlib) is not a writable directory; it is highly recommended to set the MPLCONFIGDIR environment variable to a writable directory, in particular to speed up the import of Matplotlib and to better support multiprocessing.
EEE....E...
======================================================================
ERROR: test_bar_plot_labels (test_module.BarPlotTestCase)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/runner/boilerplate-page-view-time-series-visualizer-3/test_module.py", line 38, in setUp
self.ax = self.fig.axes[0]
TypeError: 'AxesSubplot' object is not subscriptable
======================================================================
ERROR: test_bar_plot_legend_labels (test_module.BarPlotTestCase)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/runner/boilerplate-page-view-time-series-visualizer-3/test_module.py", line 38, in setUp
self.ax = self.fig.axes[0]
TypeError: 'AxesSubplot' object is not subscriptable
======================================================================
ERROR: test_bar_plot_number_of_bars (test_module.BarPlotTestCase)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/runner/boilerplate-page-view-time-series-visualizer-3/test_module.py", line 38, in setUp
self.ax = self.fig.axes[0]
TypeError: 'AxesSubplot' object is not subscriptable
======================================================================
ERROR: test_data_cleaning (test_module.DataCleaningTestCase)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/runner/boilerplate-page-view-time-series-visualizer-3/test_module.py", line 7, in test_data_cleaning
actual = int(time_series_visualizer.df.count(numeric_only=True))
File "/opt/virtualenvs/python3/lib/python3.8/site-packages/pandas/core/series.py", line 185, in wrapper
raise TypeError(f"cannot convert the series to {converter}")
TypeError: cannot convert the series to <class 'int'>
----------------------------------------------------------------------
Ran 11 tests in 7.585s
FAILED (errors=4)
Looks like pandas’s method plot might not be returning what is expected by tests.
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