No graph is displaying while plotting value with time interval using python
0
$begingroup$
I have a large dataset with values and date and time. So I want to plot graph of value with time and date. So I wrote a code for time difference. Afterthat I tried to store value into that time difference. Afterthat I tried to plot it. It run with no graph. Can anyone helps me to solve this error?
here is my code:
x= df1,iloc[:,2]
time_interval = 14400 #interval in seconds (14400s = 360 minutes)
date_array =
date_array.append(pd.to_datetime(df1['date'][0]).date())
start_time =
end_time =
temp_date = pd.to_datetime(df1['date'][0]).date()
start_time.append(pd.to_datetime(df1['time'][0], format='%H:%M:%S').time())
for i in range(len(df1['date'])):
cur_date = pd.to_datetime(df1['date'][i]).date()
if( cur_date > temp_date):
end_time.append(pd.to_datetime(df1['time'][i-1], format='%H:%M:%S').time())
start_time.append(pd.to_datetime(df1['time'][i], format='%H:%M:%S').time())
date_array.append(cur_date)
temp_date = cur_date
end_time.append(pd.to_datetime(df1['time'][len(df1['date'])-1], format='%H:%M:%S').time())
datetime_array =
for i in range(len(date_array)):
s_time = datetime.datetime.combine(date_array[i],start_time[i])
e_time = datetime.datetime.combine(date_array[i], end_time[i])
timediff = (e_time - s_time)
#num_periods = int(timediff.total_seconds()/t3ime_interval) +1
num_periods = abs(int(timediff.total_seconds()/time_interval)) + 1
time_list = pd.date_range(start=s_time, end = e_time, periods=num_periods ).to_pydatetime()
datetime_array.extend(time_list)
time_stamps = [datetime.datetime.strftime(t,'%H:%m:%S') for t in datetime_array]
x = np.zeros([num_periods], dtype='timedelta64[s]')
plt.xticks(np.arange(num_periods), time_stamps)
my csv file:
after running the code output came like this:
python pandas
asked 2 mins ago
kaskas
968
$endgroup$
add a comment |
0
$begingroup$
I have a large dataset with values and date and time. So I want to plot graph of value with time and date. So I wrote a code for time difference. Afterthat I tried to store value into that time difference. Afterthat I tried to plot it. It run with no graph. Can anyone helps me to solve this error?
here is my code:
x= df1,iloc[:,2]
time_interval = 14400 #interval in seconds (14400s = 360 minutes)
date_array =
date_array.append(pd.to_datetime(df1['date'][0]).date())
start_time =
end_time =
temp_date = pd.to_datetime(df1['date'][0]).date()
start_time.append(pd.to_datetime(df1['time'][0], format='%H:%M:%S').time())
for i in range(len(df1['date'])):
cur_date = pd.to_datetime(df1['date'][i]).date()
if( cur_date > temp_date):
end_time.append(pd.to_datetime(df1['time'][i-1], format='%H:%M:%S').time())
start_time.append(pd.to_datetime(df1['time'][i], format='%H:%M:%S').time())
date_array.append(cur_date)
temp_date = cur_date
end_time.append(pd.to_datetime(df1['time'][len(df1['date'])-1], format='%H:%M:%S').time())
datetime_array =
for i in range(len(date_array)):
s_time = datetime.datetime.combine(date_array[i],start_time[i])
e_time = datetime.datetime.combine(date_array[i], end_time[i])
timediff = (e_time - s_time)
#num_periods = int(timediff.total_seconds()/t3ime_interval) +1
num_periods = abs(int(timediff.total_seconds()/time_interval)) + 1
time_list = pd.date_range(start=s_time, end = e_time, periods=num_periods ).to_pydatetime()
datetime_array.extend(time_list)
time_stamps = [datetime.datetime.strftime(t,'%H:%m:%S') for t in datetime_array]
x = np.zeros([num_periods], dtype='timedelta64[s]')
plt.xticks(np.arange(num_periods), time_stamps)
my csv file:
after running the code output came like this:
python pandas
asked 2 mins ago
kaskas
968
$endgroup$
add a comment |
0
0
0
$begingroup$
I have a large dataset with values and date and time. So I want to plot graph of value with time and date. So I wrote a code for time difference. Afterthat I tried to store value into that time difference. Afterthat I tried to plot it. It run with no graph. Can anyone helps me to solve this error?
here is my code:
x= df1,iloc[:,2]
time_interval = 14400 #interval in seconds (14400s = 360 minutes)
date_array =
date_array.append(pd.to_datetime(df1['date'][0]).date())
start_time =
end_time =
temp_date = pd.to_datetime(df1['date'][0]).date()
start_time.append(pd.to_datetime(df1['time'][0], format='%H:%M:%S').time())
for i in range(len(df1['date'])):
cur_date = pd.to_datetime(df1['date'][i]).date()
if( cur_date > temp_date):
end_time.append(pd.to_datetime(df1['time'][i-1], format='%H:%M:%S').time())
start_time.append(pd.to_datetime(df1['time'][i], format='%H:%M:%S').time())
date_array.append(cur_date)
temp_date = cur_date
end_time.append(pd.to_datetime(df1['time'][len(df1['date'])-1], format='%H:%M:%S').time())
datetime_array =
for i in range(len(date_array)):
s_time = datetime.datetime.combine(date_array[i],start_time[i])
e_time = datetime.datetime.combine(date_array[i], end_time[i])
timediff = (e_time - s_time)
#num_periods = int(timediff.total_seconds()/t3ime_interval) +1
num_periods = abs(int(timediff.total_seconds()/time_interval)) + 1
time_list = pd.date_range(start=s_time, end = e_time, periods=num_periods ).to_pydatetime()
datetime_array.extend(time_list)
time_stamps = [datetime.datetime.strftime(t,'%H:%m:%S') for t in datetime_array]
x = np.zeros([num_periods], dtype='timedelta64[s]')
plt.xticks(np.arange(num_periods), time_stamps)
my csv file:
after running the code output came like this:
python pandas
asked 2 mins ago
kaskas
968
$endgroup$
I have a large dataset with values and date and time. So I want to plot graph of value with time and date. So I wrote a code for time difference. Afterthat I tried to store value into that time difference. Afterthat I tried to plot it. It run with no graph. Can anyone helps me to solve this error?
here is my code:
x= df1,iloc[:,2]
time_interval = 14400 #interval in seconds (14400s = 360 minutes)
date_array =
date_array.append(pd.to_datetime(df1['date'][0]).date())
start_time =
end_time =
temp_date = pd.to_datetime(df1['date'][0]).date()
start_time.append(pd.to_datetime(df1['time'][0], format='%H:%M:%S').time())
for i in range(len(df1['date'])):
cur_date = pd.to_datetime(df1['date'][i]).date()
if( cur_date > temp_date):
end_time.append(pd.to_datetime(df1['time'][i-1], format='%H:%M:%S').time())
start_time.append(pd.to_datetime(df1['time'][i], format='%H:%M:%S').time())
date_array.append(cur_date)
temp_date = cur_date
end_time.append(pd.to_datetime(df1['time'][len(df1['date'])-1], format='%H:%M:%S').time())
datetime_array =
for i in range(len(date_array)):
s_time = datetime.datetime.combine(date_array[i],start_time[i])
e_time = datetime.datetime.combine(date_array[i], end_time[i])
timediff = (e_time - s_time)
#num_periods = int(timediff.total_seconds()/t3ime_interval) +1
num_periods = abs(int(timediff.total_seconds()/time_interval)) + 1
time_list = pd.date_range(start=s_time, end = e_time, periods=num_periods ).to_pydatetime()
datetime_array.extend(time_list)
time_stamps = [datetime.datetime.strftime(t,'%H:%m:%S') for t in datetime_array]
x = np.zeros([num_periods], dtype='timedelta64[s]')
plt.xticks(np.arange(num_periods), time_stamps)
my csv file:
after running the code output came like this:
python pandas
python pandas
asked 2 mins ago
kaskas
968
asked 2 mins ago
kaskas
968
asked 2 mins ago
kaskas
968
asked 2 mins ago
kaskas
968
asked 2 mins ago
kaskas
968
968
add a comment |
add a comment |
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