![3
1-matplotlib
[By Amina Delali]
Basic PlottingBasic Plotting
●
Importing pyplot module
from matplotlib (as plt)
ser1 The series values are the
y values, the series index
values, are the x values
You have to use this command, to
be able to see all the plots
( embed an image after each plot)](https://image.slidesharecdn.com/aaa-ped-8-190413160748/85/Aaa-ped-Data-8-manipulation-Plotting-and-Visualization-3-320.jpg)
![4
1-matplotlib
[By Amina Delali]
Basic PlottingBasic Plotting
●
To plot in this part just use:
axis2.plot(ser1)
To divide the
region in 4
subplots just
use:
add_subplot(
2,2,”position”)](https://image.slidesharecdn.com/aaa-ped-8-190413160748/85/Aaa-ped-Data-8-manipulation-Plotting-and-Visualization-4-320.jpg)
![5
1-matplotlib
[By Amina Delali]
Customizing plotsCustomizing plots
●
(From google colab help)
colors
Some line styles and
markers](https://image.slidesharecdn.com/aaa-ped-8-190413160748/85/Aaa-ped-Data-8-manipulation-Plotting-and-Visualization-5-320.jpg)
![6
1-matplotlib
[By Amina Delali]
Basic PlottingBasic Plotting
●
ser1
The xticklabes: 4
xticks ==> 4
labels
Mark the x axis at the
positions: 0, 2 4 and 6
and labeled A, B, C
and D
The title](https://image.slidesharecdn.com/aaa-ped-8-190413160748/85/Aaa-ped-Data-8-manipulation-Plotting-and-Visualization-6-320.jpg)
![7
1-matplotlib
[By Amina Delali]
AnnotationsAnnotations
●
Creating the
rectangle
Adding the
rectangle to the
plot](https://image.slidesharecdn.com/aaa-ped-8-190413160748/85/Aaa-ped-Data-8-manipulation-Plotting-and-Visualization-7-320.jpg)
![8
1-matplotlib
[By Amina Delali]
AnnotationsAnnotations
●
The arrow is drawn
at the left of the text
The y position of the
text (3) is under the
y position of the
annotation (5) so by
defalut the arrow is
drawn at the botom
of the plot](https://image.slidesharecdn.com/aaa-ped-8-190413160748/85/Aaa-ped-Data-8-manipulation-Plotting-and-Visualization-8-320.jpg)
![9
1-matplotlib
[By Amina Delali]
File handling and configurationFile handling and configuration
●
You can specify an
svg file as well
●
You can customize the default options of matplotlib plots, you can use
the rc method
Real size](https://image.slidesharecdn.com/aaa-ped-8-190413160748/85/Aaa-ped-Data-8-manipulation-Plotting-and-Visualization-9-320.jpg)
![10
2-Plottingwith
pandasandseaborn
[By Amina Delali]
Line plots with pandasLine plots with pandas
●ser1 df1
Plotting only these
2 columns](https://image.slidesharecdn.com/aaa-ped-8-190413160748/85/Aaa-ped-Data-8-manipulation-Plotting-and-Visualization-10-320.jpg)
![11
2-Plottingwith
pandasandseaborn
[By Amina Delali]
Bar plots with pandasBar plots with pandas
●
To each value correspond a bar. In df1
plot, the bars are grouped by column
For horizontal
bars
The 3 values in
one bar](https://image.slidesharecdn.com/aaa-ped-8-190413160748/85/Aaa-ped-Data-8-manipulation-Plotting-and-Visualization-11-320.jpg)
![12
2-Plottingwith
pandasandseaborn
[By Amina Delali]
Bar plots with seabornBar plots with seaborn
●
Importing seaborn library
An other column cat added to df1 used to separate
data in categories. Since there is no val2 duplicates,
so for each val2 there is only one bar](https://image.slidesharecdn.com/aaa-ped-8-190413160748/85/Aaa-ped-Data-8-manipulation-Plotting-and-Visualization-12-320.jpg)
![13
2-Plottingwith
pandasandseaborn
[By Amina Delali]
HistogramsHistograms
●](https://image.slidesharecdn.com/aaa-ped-8-190413160748/85/Aaa-ped-Data-8-manipulation-Plotting-and-Visualization-13-320.jpg)
![14
2-Plottingwith
pandasandseaborn
[By Amina Delali]
Points (scatter) plot with seabornPoints (scatter) plot with seaborn
●
Will plot the data points and
a linear regression model fit
The line that tries to fit
to the data](https://image.slidesharecdn.com/aaa-ped-8-190413160748/85/Aaa-ped-Data-8-manipulation-Plotting-and-Visualization-14-320.jpg)
![15
2-Plottingwith
pandasandseaborn
[By Amina Delali]
Categorical DataCategorical Data
●
df4
Category 1, dimension 2 (col)
Category 2, dimension 2 (col)
Category 1, dimension 1 (hue)
Category 2, dimension 1 (hue)](https://image.slidesharecdn.com/aaa-ped-8-190413160748/85/Aaa-ped-Data-8-manipulation-Plotting-and-Visualization-15-320.jpg)
![16
3-Interactive
anddynamicgraphics
[By Amina Delali]
BokehBokeh
●
To install bokeh library
Hexadecimal
colors code
X values
y values](https://image.slidesharecdn.com/aaa-ped-8-190413160748/85/Aaa-ped-Data-8-manipulation-Plotting-and-Visualization-16-320.jpg)
![17
3-Interactive
anddynamicgraphics
[By Amina Delali]
plotlyplotly
●
You have to define this function and call it in each cell containing a plot](https://image.slidesharecdn.com/aaa-ped-8-190413160748/85/Aaa-ped-Data-8-manipulation-Plotting-and-Visualization-17-320.jpg)
![18
3-interactive
Anddynamicgraphics
[By Amina Delali]
Basic PlottingBasic Plotting
●
The generated scatter plot](https://image.slidesharecdn.com/aaa-ped-8-190413160748/85/Aaa-ped-Data-8-manipulation-Plotting-and-Visualization-18-320.jpg)
Aaa ped-Data-8- manipulation: Plotting and Visualization
- 1. Data manipulation: Plotting and Visualization AAA-Python Edition
- 2. Plan ● 1- matplotlib ● 2- Plotting with Pandas and seaborn ● 3- Interactive and dynamic graphics
- 3. 3 1-matplotlib [By Amina Delali] Basic PlottingBasic Plotting ● Importing pyplot module from matplotlib (as plt) ser1 The series values are the y values, the series index values, are the x values You have to use this command, to be able to see all the plots ( embed an image after each plot)
- 4. 4 1-matplotlib [By Amina Delali] Basic PlottingBasic Plotting ● To plot in this part just use: axis2.plot(ser1) To divide the region in 4 subplots just use: add_subplot( 2,2,”position”)
- 5. 5 1-matplotlib [By Amina Delali] Customizing plotsCustomizing plots ● (From google colab help) colors Some line styles and markers
- 6. 6 1-matplotlib [By Amina Delali] Basic PlottingBasic Plotting ● ser1 The xticklabes: 4 xticks ==> 4 labels Mark the x axis at the positions: 0, 2 4 and 6 and labeled A, B, C and D The title
- 7. 7 1-matplotlib [By Amina Delali] AnnotationsAnnotations ● Creating the rectangle Adding the rectangle to the plot
- 8. 8 1-matplotlib [By Amina Delali] AnnotationsAnnotations ● The arrow is drawn at the left of the text The y position of the text (3) is under the y position of the annotation (5) so by defalut the arrow is drawn at the botom of the plot
- 9. 9 1-matplotlib [By Amina Delali] File handling and configurationFile handling and configuration ● You can specify an svg file as well ● You can customize the default options of matplotlib plots, you can use the rc method Real size
- 10. 10 2-Plottingwith pandasandseaborn [By Amina Delali] Line plots with pandasLine plots with pandas ●ser1 df1 Plotting only these 2 columns
- 11. 11 2-Plottingwith pandasandseaborn [By Amina Delali] Bar plots with pandasBar plots with pandas ● To each value correspond a bar. In df1 plot, the bars are grouped by column For horizontal bars The 3 values in one bar
- 12. 12 2-Plottingwith pandasandseaborn [By Amina Delali] Bar plots with seabornBar plots with seaborn ● Importing seaborn library An other column cat added to df1 used to separate data in categories. Since there is no val2 duplicates, so for each val2 there is only one bar
- 14. 14 2-Plottingwith pandasandseaborn [By Amina Delali] Points (scatter) plot with seabornPoints (scatter) plot with seaborn ● Will plot the data points and a linear regression model fit The line that tries to fit to the data
- 15. 15 2-Plottingwith pandasandseaborn [By Amina Delali] Categorical DataCategorical Data ● df4 Category 1, dimension 2 (col) Category 2, dimension 2 (col) Category 1, dimension 1 (hue) Category 2, dimension 1 (hue)
- 16. 16 3-Interactive anddynamicgraphics [By Amina Delali] BokehBokeh ● To install bokeh library Hexadecimal colors code X values y values
- 17. 17 3-Interactive anddynamicgraphics [By Amina Delali] plotlyplotly ● You have to define this function and call it in each cell containing a plot
- 18. 18 3-interactive Anddynamicgraphics [By Amina Delali] Basic PlottingBasic Plotting ● The generated scatter plot
- 19. References ● Wes McKinney. Python for data analysis: Data wrangling with Pandas, NumPy, and IPython. O’Reilly Media, Inc, 2018.
- 20. Thank you! FOR ALL YOUR TIME