You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: Python/Module5_OddsAndEnds/Matplotlib.ipynb
+1-1Lines changed: 1 addition & 1 deletion
Original file line number
Diff line number
Diff line change
@@ -72,7 +72,7 @@
72
72
"metadata": {},
73
73
"source": [
74
74
"## Creating Figures and Axes with `pyplot.subplots`\n",
75
-
"There are many different wasy to create blank figure and axes objects in Matplotlib. Here, we will introduce the function `pyplot.subplots`, which creates a figure that contains axes on which data is plotted. We will see that the keyword argument `figsize` can be used to control the size of the figure, and that the keyword arguments `ncols` and `nrows` can be used to specify the grid on which the axes will be laid out within the figure.\n",
75
+
"There are many different ways to create blank figure and axes objects in Matplotlib. Here, we will introduce the function `pyplot.subplots`, which creates a figure that contains axes on which data is plotted. We will see that the keyword argument `figsize` can be used to control the size of the figure, and that the keyword arguments `ncols` and `nrows` can be used to specify the grid on which the axes will be laid out within the figure.\n",
76
76
"\n",
77
77
"In Matplotlib, the `Figure` object is used to contain one or more sets of `Axes` objects. Data is plotted within a given set of axes. The `subplots` function can be used to create a figure along with a specified layout of axes. By default, `subplots` will create a figure with a single set of axes; calling it will return the figure object and its axes object in a tuple:\n",
0 commit comments