c# convert pdf to tiff : Create signature field in pdf SDK control API .net web page windows sharepoint pandas83-part320

pandas: powerful Python data analysis toolkit, Release 0.18.1
tips_data = pd.read_csv('tips.csv')
from the directory where you downloaded the file.
We import the rplot API:
In [185]: import pandas.tools.rplot as rplot
23.7.1 Examples
RPlot was an APIfor producing Trellis plots. These plots allow you to arrange data in a rectangulargrid by values of
certain attributes. In the example below, data from the tips data set is arranged by the attributes ‘sex’ and ‘smoker’.
Since both of those attributes can take on one of two values, the resulting grid has two columns and two rows. A
histogramis displayed for each cell of the grid.
In [186]: plt.figure()
Out[186]: <matplotlib.figure.Figure at 0x12c8d9ad0>
In [187]: plot rplot.RPlot(tips_data, x='total_bill', y='tip')
In [188]: plot.add(rplot.TrellisGrid(['sex''smoker']))
In [189]: plot.add(rplot.GeomHistogram())
In [190]: plot.render(plt.gcf())
Out[190]: <matplotlib.figure.Figure at 0x12c8d9ad0>
23.7. Trellis plotting interface
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Create signature field in pdf - C# PDF File Permission Library: add, remove, update PDF file permission in C#.net, ASP.NET, MVC, WPF
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VB.NET Tutorial for How to Set PDF File Access Permissions Using XDoc.PDF for .NET
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pandas: powerful Python data analysis toolkit, Release 0.18.1
Asimilar plot can be made with seaborn using the FacetGrid object, resulting in the following image:
import seaborn as sns
= sns.FacetGrid(tips_data, row="sex", col="smoker")
g.map(plt.hist, "total_bill")
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Chapter 23. Visualization
C# PDF Digital Signature Library: add, remove, update PDF digital
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pandas: powerful Python data analysis toolkit, Release 0.18.1
Example below is the same as previous except the plot is set to kernel density estimation. A seaborn example is
included beneath.
In [191]: plt.figure()
Out[191]: <matplotlib.figure.Figure at 0x12d96ab90>
In [192]: plot rplot.RPlot(tips_data, x='total_bill', y='tip')
In [193]: plot.add(rplot.TrellisGrid(['sex''smoker']))
In [194]: plot.add(rplot.GeomDensity())
In [195]: plot.render(plt.gcf())
Out[195]: <matplotlib.figure.Figure at 0x12d96ab90>
23.7. Trellis plotting interface
823
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pandas: powerful Python data analysis toolkit, Release 0.18.1
= sns.FacetGrid(tips_data, row="sex", col="smoker")
g.map(sns.kdeplot, "total_bill")
824
Chapter 23. Visualization
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pandas: powerful Python data analysis toolkit, Release 0.18.1
The plot below shows thatit is possible to have twoor more plots for the same data displayed on the same Trellis grid
cell.
In [196]: plt.figure()
Out[196]: <matplotlib.figure.Figure at 0x12e9ffd50>
In [197]: plot rplot.RPlot(tips_data, x='total_bill', y='tip')
In [198]: plot.add(rplot.TrellisGrid(['sex''smoker']))
In [199]: plot.add(rplot.GeomScatter())
In [200]: plot.add(rplot.GeomPolyFit(degree=2))
In [201]: plot.render(plt.gcf())
Out[201]: <matplotlib.figure.Figure at 0x12e9ffd50>
23.7. Trellis plotting interface
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pandas: powerful Python data analysis toolkit, Release 0.18.1
Aseaborn equivalent fora simple scatterplot:
= sns.FacetGrid(tips_data, row="sex", col="smoker")
g.map(plt.scatter, "total_bill""tip")
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Chapter 23. Visualization
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Fill-in Field Data. Field: Insert, Delete, Update Field. Barcode Read. Barcode Create. OCR. Twain. Image: Remove picture, digital photo, scanned signature, logo,
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pandas: powerful Python data analysis toolkit, Release 0.18.1
and with a regression line, using the dedicated seaborn regplot function:
= sns.FacetGrid(tips_data, row="sex", col="smoker", margin_titles=True)
g.map(sns.regplot, "total_bill""tip", order=2)
23.7. Trellis plotting interface
827
pandas: powerful Python data analysis toolkit, Release 0.18.1
Below is a similar plot but with 2D kernel density estimation plot superimposed, followed by a seaborn equivalent:
In [202]: plt.figure()
Out[202]: <matplotlib.figure.Figure at 0x12daa1ad0>
In [203]: plot rplot.RPlot(tips_data, x='total_bill', y='tip')
In [204]: plot.add(rplot.TrellisGrid(['sex''smoker']))
In [205]: plot.add(rplot.GeomScatter())
In [206]: plot.add(rplot.GeomDensity2D())
In [207]: plot.render(plt.gcf())
Out[207]: <matplotlib.figure.Figure at 0x12daa1ad0>
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Chapter 23. Visualization
pandas: powerful Python data analysis toolkit, Release 0.18.1
= sns.FacetGrid(tips_data, row="sex", col="smoker")
g.map(plt.scatter, "total_bill""tip")
g.map(sns.kdeplot, "total_bill""tip")
23.7. Trellis plotting interface
829
pandas: powerful Python data analysis toolkit, Release 0.18.1
It is possible to only use one attribute for grouping data. The example above only uses ‘sex’ attribute. If the second
grouping attribute is not specified, the plots will be arranged in a column.
In [208]: plt.figure()
Out[208]: <matplotlib.figure.Figure at 0x12f59eb90>
In [209]: plot rplot.RPlot(tips_data, x='total_bill', y='tip')
In [210]: plot.add(rplot.TrellisGrid(['sex''.']))
In [211]: plot.add(rplot.GeomHistogram())
In [212]: plot.render(plt.gcf())
Out[212]: <matplotlib.figure.Figure at 0x12f59eb90>
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Chapter 23. Visualization
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