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Junior<br />
<br />
Can you upload a small sample CSV file?
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Junior

Can you upload a small sample CSV file?

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<p><br></p><p>OK here's the sample.</p><p><br></p><p><a class="fr-file" href="https://filedb.experts-exchange.com/incoming/2020/02_w09/1445345/incidents_hist.csv" rel="ugc">incidents_hist.csv</a></p>
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OK here's the sample.




incidents_hist.csv [https://filedb.experts-exchange.com/incoming/2020/02_w09/1445345/incidents_hist.csv]

incidents_hist.csv

Screenshot-2020-03-03-at-17.25.12.png

IT Specialist

Junior Vasquez

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<div class="content wysiwyg-content">
using the below code, i'm getting the ordinal positions for the barchart produced instead of the column names from the .csv(dataframe) i can't figure out how to get to column names into the chart <br />
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import pyodbc<br />
import pandas as pd<br />
import matplotlib.pyplot as plt<br />
import numpy as np<br />
df = pd.read_csv('c:/python/inc<wbr />idents_his<wbr />t.csv')<br />
df<a href="https://filedb.experts-exchange.com/incoming/2020/02_w09/1445303/df_pandas.PNG" target="_blank" title="PandaBarCharg (125 KB)"><img alt="PandaBarCharg" class="file-block lazyload" style="max-width: 800px;" data-src="https://filedb.experts-exchange.com/incoming/2020/02_w09/800_1445303/df_pandas.PNG" /></a>df.plot.bar()
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df_pandas.PNG

using the below code, i'm getting the ordinal positions for the barchart produced instead of the column names from the .csv(dataframe) i can't figure out how to get to column names into the chart 

import pyodbc
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
df = pd.read_csv('c:/python/incidents_hist.csv')
df
df.plot.bar()

Python/Pandas Barchart label

pandas

Python is a widely used general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in other languages. Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive set of standard libraries, including NumPy, SciPy, Django, PyQuery, and PyLibrary.