Optimizing and simplifying pandas code for identifying recessions in US GDP data
0
$begingroup$
For an assignment, I am identifying the first quarter of the 2008 recession in the United States. The data comes from, and the excel file I'm using can be downloaded here: gdplev.xls. How can I improve this pandas code to make it more idiomatic or optimized?
def get_recession_start():
'''Returns the year and quarter of the recession start time as a
string value in a format such as 2005q3'''
GDP_df = pd.read_excel("gdplev.xls",
names=["Quarter", "GDP in 2009 dollars"],
parse_cols = "E,G",
skiprows = 7)
GDP_df = GDP_df.query("Quarter >= '2000q1'")
GDP_df["Growth"] = GDP_df["GDP in 2009 dollars"].pct_change()
GDP_df = GDP_df.reset_index(drop=True)
# recession defined as two consecutive quarters of negative growth
GDP_df["Recession"] = (GDP_df.Growth < 0) & (GDP_df.Growth.shift(-1) < 0)
return GDP_df.iloc[GDP_df["Recession"].idxmax()]["Quarter"]
get_recession_start()
python python-3.x pandas
asked 11 mins ago
Jeremy HadfieldJeremy Hadfield
61
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add a comment |
0
$begingroup$
For an assignment, I am identifying the first quarter of the 2008 recession in the United States. The data comes from, and the excel file I'm using can be downloaded here: gdplev.xls. How can I improve this pandas code to make it more idiomatic or optimized?
def get_recession_start():
'''Returns the year and quarter of the recession start time as a
string value in a format such as 2005q3'''
GDP_df = pd.read_excel("gdplev.xls",
names=["Quarter", "GDP in 2009 dollars"],
parse_cols = "E,G",
skiprows = 7)
GDP_df = GDP_df.query("Quarter >= '2000q1'")
GDP_df["Growth"] = GDP_df["GDP in 2009 dollars"].pct_change()
GDP_df = GDP_df.reset_index(drop=True)
# recession defined as two consecutive quarters of negative growth
GDP_df["Recession"] = (GDP_df.Growth < 0) & (GDP_df.Growth.shift(-1) < 0)
return GDP_df.iloc[GDP_df["Recession"].idxmax()]["Quarter"]
get_recession_start()
python python-3.x pandas
asked 11 mins ago
Jeremy HadfieldJeremy Hadfield
61
New contributor
Jeremy Hadfield is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
0
0
0
$begingroup$
For an assignment, I am identifying the first quarter of the 2008 recession in the United States. The data comes from, and the excel file I'm using can be downloaded here: gdplev.xls. How can I improve this pandas code to make it more idiomatic or optimized?
def get_recession_start():
'''Returns the year and quarter of the recession start time as a
string value in a format such as 2005q3'''
GDP_df = pd.read_excel("gdplev.xls",
names=["Quarter", "GDP in 2009 dollars"],
parse_cols = "E,G",
skiprows = 7)
GDP_df = GDP_df.query("Quarter >= '2000q1'")
GDP_df["Growth"] = GDP_df["GDP in 2009 dollars"].pct_change()
GDP_df = GDP_df.reset_index(drop=True)
# recession defined as two consecutive quarters of negative growth
GDP_df["Recession"] = (GDP_df.Growth < 0) & (GDP_df.Growth.shift(-1) < 0)
return GDP_df.iloc[GDP_df["Recession"].idxmax()]["Quarter"]
get_recession_start()
python python-3.x pandas
asked 11 mins ago
Jeremy HadfieldJeremy Hadfield
61
New contributor
Jeremy Hadfield is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
For an assignment, I am identifying the first quarter of the 2008 recession in the United States. The data comes from, and the excel file I'm using can be downloaded here: gdplev.xls. How can I improve this pandas code to make it more idiomatic or optimized?
def get_recession_start():
'''Returns the year and quarter of the recession start time as a
string value in a format such as 2005q3'''
GDP_df = pd.read_excel("gdplev.xls",
names=["Quarter", "GDP in 2009 dollars"],
parse_cols = "E,G",
skiprows = 7)
GDP_df = GDP_df.query("Quarter >= '2000q1'")
GDP_df["Growth"] = GDP_df["GDP in 2009 dollars"].pct_change()
GDP_df = GDP_df.reset_index(drop=True)
# recession defined as two consecutive quarters of negative growth
GDP_df["Recession"] = (GDP_df.Growth < 0) & (GDP_df.Growth.shift(-1) < 0)
return GDP_df.iloc[GDP_df["Recession"].idxmax()]["Quarter"]
get_recession_start()
python python-3.x pandas
python python-3.x pandas
asked 11 mins ago
Jeremy HadfieldJeremy Hadfield
61
New contributor
Jeremy Hadfield is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 11 mins ago
Jeremy HadfieldJeremy Hadfield
61
New contributor
Jeremy Hadfield is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 11 mins ago
Jeremy HadfieldJeremy Hadfield
61
New contributor
Jeremy Hadfield is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 11 mins ago
Jeremy HadfieldJeremy Hadfield
61
asked 11 mins ago
Jeremy HadfieldJeremy Hadfield
61
61
New contributor
Jeremy Hadfield is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Jeremy Hadfield is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Jeremy Hadfield is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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