<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic pd.read_csv failed in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/pd-read-csv-failed/m-p/16970#M11055</link>
    <description>&lt;P&gt;&lt;A href="https://i.imgur.com/PAGzSr9.png" target="test_blank"&gt;https://i.imgur.com/PAGzSr9.png&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Wed, 22 Jun 2022 07:52:14 GMT</pubDate>
    <dc:creator>THIAM_HUATTAN</dc:creator>
    <dc:date>2022-06-22T07:52:14Z</dc:date>
    <item>
      <title>pd.read_csv failed</title>
      <link>https://community.databricks.com/t5/data-engineering/pd-read-csv-failed/m-p/16970#M11055</link>
      <description>&lt;P&gt;&lt;A href="https://i.imgur.com/PAGzSr9.png" target="test_blank"&gt;https://i.imgur.com/PAGzSr9.png&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 22 Jun 2022 07:52:14 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/pd-read-csv-failed/m-p/16970#M11055</guid>
      <dc:creator>THIAM_HUATTAN</dc:creator>
      <dc:date>2022-06-22T07:52:14Z</dc:date>
    </item>
    <item>
      <title>Re: pd.read_csv failed</title>
      <link>https://community.databricks.com/t5/data-engineering/pd-read-csv-failed/m-p/16971#M11056</link>
      <description>&lt;P&gt;Pandas will not see dbfs storage this way. You need to change to pandas on spark or use the classic path.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;PRE&gt;&lt;CODE&gt;import pyspark.pandas as pd
pd.read_csv("dbfs:/your_path/your_file.csv")
&amp;nbsp;
import pandas as pd
pd.read_csv("/dbfs/your_path/your_file.csv")&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 23 Jun 2022 20:12:34 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/pd-read-csv-failed/m-p/16971#M11056</guid>
      <dc:creator>Hubert-Dudek</dc:creator>
      <dc:date>2022-06-23T20:12:34Z</dc:date>
    </item>
    <item>
      <title>Re: pd.read_csv failed</title>
      <link>https://community.databricks.com/t5/data-engineering/pd-read-csv-failed/m-p/16972#M11057</link>
      <description>&lt;P&gt;Thanks for your kind reply:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Below works for me:&lt;/P&gt;&lt;P&gt;&lt;A href="https://imgur.com/BmMzatI" target="test_blank"&gt;https://imgur.com/BmMzatI&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;But why, as you mentioned, using the classic path, below does not work?&lt;/P&gt;&lt;P&gt;&lt;A href="https://imgur.com/Ba1a4Iv" target="test_blank"&gt;https://imgur.com/Ba1a4Iv&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 24 Jun 2022 11:43:38 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/pd-read-csv-failed/m-p/16972#M11057</guid>
      <dc:creator>THIAM_HUATTAN</dc:creator>
      <dc:date>2022-06-24T11:43:38Z</dc:date>
    </item>
    <item>
      <title>Re: pd.read_csv failed</title>
      <link>https://community.databricks.com/t5/data-engineering/pd-read-csv-failed/m-p/16973#M11058</link>
      <description>&lt;P&gt;Hi @THIAM HUAT TAN​&amp;nbsp;,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Just a friendly follow-up. Did any of the responses help you to resolve your question? if it did, please mark it as best. Otherwise, please let us know if you still need help.&lt;/P&gt;</description>
      <pubDate>Fri, 08 Jul 2022 00:05:41 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/pd-read-csv-failed/m-p/16973#M11058</guid>
      <dc:creator>jose_gonzalez</dc:creator>
      <dc:date>2022-07-08T00:05:41Z</dc:date>
    </item>
  </channel>
</rss>

