Import matplotlib pyplot as plt import seaborn as sns, Now that we know how to bring our tools into the workspace, we are ready to create our first visualization in the next section. tail () import streamlit as st import pandas as pd import numpy as np import matplotlib. pyplot as plt import seaborn as sns Basic plotting with matplotlib Matplotlib allows you to create simple plots using plt. , scatterplots)Library: seaborn Example: import seaborn as sns statsmodels. plot (). load_dataset ('tips') # Matplotlib would take 5 lines to do this. It consists of various plots like scatter plot, line plot, histogram, etc. objects as so INSTRUCTIONS 100 XP Import matplotlib. Implementation of Logistic regression Code: import numpy as np import pandas as pd import matplotlib. color': CHART_FG, 'axes. To install this type the below command in the terminal. pyplot as plt import numpy as np import pandas as pd import matplotlib as mpl import matplotlib. pyplot as plt seaborn (sns) — high-level statistical plotting (e. ticker as ticker import seaborn as sns # Global dark chart theme CHART_BG = '#0d1117' CHART_FG = '#e2b96f' GRID_COL = '#2a2a3f' sns. 6 days ago 路 import seaborn as sns import pandas as pd import matplotlib. Jul 23, 2025 路 Before diving into plotting, ensure you have both libraries installed: pip install matplotlib seaborn After installation, Import them in your script: import matplotlib. 2 days ago 路 Ninad Suresh Jambhale Roll No. Generate a green residual plot of the regression between 'hp' (on the x-axis) and 'mpg' (on the y-axis). pyplot as plt import seaborn as sns import seaborn. rcParams. pyplot and seaborn using the standard names plt and sns respectively. Running these import statements makes the functions and objects within matplotlib. csv') credit_df. g. " Example: import matplotlib. 22 Div – B Practical - 4 1. set() # seaborn's method to set its chart style Terms in this set (50) "Write Python code to import pandas as pd, numpy as np, seaborn as sns, and matplotlib. head () credit_df. pip install matplotlib Refer to the below articles to get more information setting up an environment with . Here’s an example of plotting lines and dots: Import Matplotlib Import the pyplot object of the Matplotlib module in your code using the following statement: import matplotlib. shape credit_df. pyplot as plt import matplotlib. read_csv ('/content/CreditRisk. pyplot as plt. pyplot as plt import seaborn as sns import numpy as np import pandas as pd sns. pyplot, seaborn, numpy, and pandas available for use in the rest of your code, under their respective aliases (plt, sns, np, pd). pyplot as plt import seaborn as sns credit_df=pd. labelcolor': CHART Jul 23, 2025 路 Output: Matplotlib Matplotlib is an easy-to-use, low-level data visualization library that is built on NumPy arrays. update ( { 'text. pyplot as plt # Load a built-in dataset to practice df = sns. Matplotlib provides a lot of flexibility. api (sm) — regression modeling + statistical output (OLS, summaries, prediction) Library: statsmodels Example: import statsmodels. api as sm Click the card to flip 馃憜 1 / 48 Feb 8, 2024 路 Learn to customize Seaborn heatmap labels: set, rotate, adjust font size, auto-rotate, and hide labels with practical easy examples. set_theme (style='darkgrid') plt. %matplotlib inline import matplotlib.
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