_ /tmpfs/src/github/python-bigquery-dataframes/notebooks/visualization/bq_dataframes_covid_line_graphs.ipynb _
[gw1] linux -- Python 3.9.18 /tmpfs/src/github/python-bigquery-dataframes/.nox/notebook-3-9/bin/python
---------------------------------------------------------------------------
import matplotlib.pyplot as plt

# matplotlin will draw a line graph by default
plt.plot(new_cases_usa)
# Rotate the labels on the x axis so that they don't overlap
plt.xticks(rotation=45)
# label the y axis for clarity
plt.ylabel("New Cases")

# Show the plot
plt.show()
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[9], line 4
      1 import matplotlib.pyplot as plt
      3 # matplotlin will draw a line graph by default
----> 4 plt.plot(new_cases_usa)
      5 # Rotate the labels on the x axis so that they don't overlap
      6 plt.xticks(rotation=45)

File /[tmpfs/src/github/python-bigquery-dataframes/.nox/notebook-3-9/lib/python3.9/site-packages/matplotlib/pyplot.py:3590](https://cs.corp.google.com/piper///depot/google3/tmpfs/src/github/python-bigquery-dataframes/.nox/notebook-3-9/lib/python3.9/site-packages/matplotlib/pyplot.py?l=3590), in plot(scalex, scaley, data, *args, **kwargs)
   3582 @_copy_docstring_and_deprecators(Axes.plot)
   3583 def plot(
   3584     *args: float | ArrayLike | str,
   (...)
   3588     **kwargs,
   3589 ) -> list[Line2D]:
-> 3590     return gca().plot(
   3591         *args,
   3592         scalex=scalex,
   3593         scaley=scaley,
   3594         **({"data": data} if data is not None else {}),
   3595         **kwargs,
   3596     )

File /[tmpfs/src/github/python-bigquery-dataframes/.nox/notebook-3-9/lib/python3.9/site-packages/matplotlib/axes/_axes.py:1724](https://cs.corp.google.com/piper///depot/google3/tmpfs/src/github/python-bigquery-dataframes/.nox/notebook-3-9/lib/python3.9/site-packages/matplotlib/axes/_axes.py?l=1724), in Axes.plot(self, scalex, scaley, data, *args, **kwargs)
   1481 """
   1482 Plot y versus x as lines and/or markers.
   1483 
   (...)
   1721 (``'green'``) or hex strings (``'#008000'``).
   1722 """
   1723 kwargs = cbook.normalize_kwargs(kwargs, mlines.Line2D)
-> 1724 lines = [*self._get_lines(self, *args, data=data, **kwargs)]
   1725 for line in lines:
   1726     self.add_line(line)

File /[tmpfs/src/github/python-bigquery-dataframes/.nox/notebook-3-9/lib/python3.9/site-packages/matplotlib/axes/_base.py:303](https://cs.corp.google.com/piper///depot/google3/tmpfs/src/github/python-bigquery-dataframes/.nox/notebook-3-9/lib/python3.9/site-packages/matplotlib/axes/_base.py?l=303), in _process_plot_var_args.__call__(self, axes, data, *args, **kwargs)
    301     this += args[0],
    302     args = args[1:]
--> 303 yield from self._plot_args(
    304     axes, this, kwargs, ambiguous_fmt_datakey=ambiguous_fmt_datakey)

File /[tmpfs/src/github/python-bigquery-dataframes/.nox/notebook-3-9/lib/python3.9/site-packages/matplotlib/axes/_base.py:491](https://cs.corp.google.com/piper///depot/google3/tmpfs/src/github/python-bigquery-dataframes/.nox/notebook-3-9/lib/python3.9/site-packages/matplotlib/axes/_base.py?l=491), in _process_plot_var_args._plot_args(self, axes, tup, kwargs, return_kwargs, ambiguous_fmt_datakey)
    489     y = _check_1d(xy[1])
    490 else:
--> 491     x, y = index_of(xy[-1])
    493 if axes.xaxis is not None:
    494     axes.xaxis.update_units(x)

File /[tmpfs/src/github/python-bigquery-dataframes/.nox/notebook-3-9/lib/python3.9/site-packages/matplotlib/cbook.py:1662](https://cs.corp.google.com/piper///depot/google3/tmpfs/src/github/python-bigquery-dataframes/.nox/notebook-3-9/lib/python3.9/site-packages/matplotlib/cbook.py?l=1662), in index_of(y)
   1641 """
   1642 A helper function to create reasonable x values for the given *y*.
   1643 
   (...)
   1659    The x and y values to plot.
   1660 """
   1661 try:
-> 1662     return y.index.to_numpy(), y.to_numpy()
   1663 except AttributeError:
   1664     pass

File /[tmpfs/src/github/python-bigquery-dataframes/bigframes/core/log_adapter.py:44](https://cs.corp.google.com/piper///depot/google3/tmpfs/src/github/python-bigquery-dataframes/bigframes/core/log_adapter.py?l=44), in method_logger..wrapper(*args, **kwargs)
     42 if api_method_name.startswith("__") or not api_method_name.startswith("_"):
     43     add_api_method(full_method_name)
---> 44 return method(*args, **kwargs)

File /[tmpfs/src/github/python-bigquery-dataframes/bigframes/dataframe.py:2709](https://cs.corp.google.com/piper///depot/google3/tmpfs/src/github/python-bigquery-dataframes/bigframes/dataframe.py?l=2709), in DataFrame.to_numpy(self, dtype, copy, na_value, **kwargs)
   2706 def to_numpy(
   2707     self, dtype=None, copy=False, na_value=None, **kwargs
   2708 ) -> numpy.ndarray:
-> 2709     return self.to_pandas().to_numpy(dtype, copy, na_value, **kwargs)

File /[tmpfs/src/github/python-bigquery-dataframes/.nox/notebook-3-9/lib/python3.9/site-packages/pandas/core/frame.py:1981](https://cs.corp.google.com/piper///depot/google3/tmpfs/src/github/python-bigquery-dataframes/.nox/notebook-3-9/lib/python3.9/site-packages/pandas/core/frame.py?l=1981), in DataFrame.to_numpy(self, dtype, copy, na_value)
   1979 if dtype is not None:
   1980     dtype = np.dtype(dtype)
-> 1981 result = self._mgr.as_array(dtype=dtype, copy=copy, na_value=na_value)
   1982 if result.dtype is not dtype:
   1983     result = np.array(result, dtype=dtype, copy=False)

File /[tmpfs/src/github/python-bigquery-dataframes/.nox/notebook-3-9/lib/python3.9/site-packages/pandas/core/internals/managers.py:1701](https://cs.corp.google.com/piper///depot/google3/tmpfs/src/github/python-bigquery-dataframes/.nox/notebook-3-9/lib/python3.9/site-packages/pandas/core/internals/managers.py?l=1701), in BlockManager.as_array(self, dtype, copy, na_value)
   1699     pass
   1700 else:
-> 1701     arr[isna(arr)] = na_value
   1703 return arr.transpose()

TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'

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