calculation is again element-wise, so the / is applied for the values in each row. Also other mathematical operators (+, -, \*, /) or logical operators (<, >, =,...) work element wise. The latter was already substring from a given position. To get the first character: =MID(A2,1,1) With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are SUBSTR function. data _null_; set tips; put(substr(sex,1,1)); run; With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are

calculation is again element-wise, so the / is applied for the values in each row. Also other mathematical operators (+, -, \*, /) or logical operators (<, >, =,...) work element wise. The latter was already substring from a given position. To get the first character: =MID(A2,1,1) With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are SUBSTR function. data _null_; set tips; put(substr(sex,1,1)); run; With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are

calculation is again element-wise, so the / is applied for the values in each row. Also other mathematical operators (+, -, \*, /) or logical operators (<, >, =,...) work element wise. The latter was already substring from a given position. To get the first character: =MID(A2,1,1) With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are SUBSTR function. data _null_; set tips; put(substr(sex,1,1)); run; With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are

calculation is again element-wise, so the / is applied for the values in each row. Also other mathematical operators (+, -, \*, /) or logical operators (<, >, =,...) work element wise. The latter was already substring from a given position. To get the first character: =MID(A2,1,1) With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are SUBSTR function. data _null_; set tips; put(substr(sex,1,1)); run; With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are

calculation is again element-wise, so the / is applied for the values in each row. Also other mathematical operators (+, -, \*, /) or logical operators (<, >, =,...) work element wise. The latter was already substring from a given position. To get the first character: =MID(A2,1,1) With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are SUBSTR function. data _null_; set tips; put(substr(sex,1,1)); run; With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are

calculation is again element-wise, so the / is applied for the values in each row. Also other mathematical operators (+, -, *, /) or logical operators (<, >, =,...) work element wise. The latter was already SUBSTR function. data _null_; set tips; put(substr(sex,1,1)); run; With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are with the substr() function. generate short_sex = substr(sex, 1, 1) With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are

calculation is again element-wise, so the / is applied for the values in each row. Also other mathematical operators (+, -, *, /) or logical operators (<, >, =,...) work element wise. The latter was already SUBSTR function. data _null_; set tips; put(substr(sex,1,1)); run; With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are with the substr() function. generate short_sex = substr(sex, 1, 1) With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are

calculation is again element-wise, so the / is applied for the values in each row. Also other mathematical operators (+, -, *, /,...) or logical operators (<, >, ==,...) work element-wise. The latter was substring from a given position. To get the first character: =MID(A2,1,1) With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are SUBSTR function. data _null_; set tips; put(substr(sex,1,1)); run; With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are

calculation is again element-wise, so the / is applied for the values in each row. Also other mathematical operators (+, -, *, /) or logical operators (<, >, =,...) work element wise. The latter was already SUBSTR function. data _null_; set tips; put(substr(sex,1,1)); run; With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are with the substr() function. generate short_sex = substr(sex, 1, 1) With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are

calculation is again element-wise, so the / is applied for the values in each row. Also other mathematical operators (+, -, *, /) or logical operators (<, >, =,...) work element wise. The latter was already SUBSTR function. data _null_; set tips; put(substr(sex,1,1)); run; With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are with the substr() function. generate short_sex = substr(sex, 1, 1) With pandas you can use [] notation to extract a substring from a string by position locations. Keep in mind that Python indexes are