Ultimate Matplotlib Tutorial 2024
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NAVIGATE THE CONTENT
0:00:00 Intro to Tutorial
0:01:30 Importing Libraries and Reading Dataframes
0:04:11 The Easy way of Plotting - plt.figure()
0:10:53 The Versatile way of Plotting - plt.subplots()
0:16:00 1 * 2 subplots
0:24:11 2 * 2 subplots
0:31:15 Clever Loop to generate subplots fast
0:39:56 Stacked Bar Plot
0:51:42 Stacked Bar Plot with opaque bars to highlight predictions for future
0:55:27 Grouped Bar Plot
1:04:42 Line Plot with all relevant customization we haven't yet covered
ACCESS TO THE DATASETS
df = pd.read_csv("https://raw.githubusercontent.com/caj...")
weather = pd.read_csv("https://raw.githubusercontent.com/caj..."
,index_col="date", parse_dates=["date"]).drop(columns="precipitation_fin")
critical_mineral_demand = pd.read_csv("https://raw.githubusercontent.com/caj...")
df1 = pd.read_csv("https://raw.githubusercontent.com/caj...")
snow = weather[["snow_depth_swe", "snow_depth_nor", "snow_depth_fin"]].resample("ME").mean()
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